Data Science

Catalog description

Frequently, analysts use data to describe the current state of an organization. Data science extends the analyst's reach into the future. Data science has been almost exclusively the domain of people who have Science, Technology, Engineering and Math (STEM) degrees, and especially those with a quantitative background. Recent fast-paced tool development and abstraction now allow motivated data analysts to perform useful and rigorous predictive analyses using high level languages and their rich scientific ecosystems. This course will cover classification, regression, and clustering methods, and students will apply these methods in designing, modeling, and building model applications that use natural language processing and recommender systems.